set tf.device('/cpu:0') for render op explicitly

face_decoder.py

@@ -294,34 +294,11 @@ class Face3D():
 		#using tf_mesh_renderer for rasterization (https://github.com/google/tf_mesh_renderer)
 		# img: [batchsize,224,224,3] images in RGB order (0-255)
 		# mask:[batchsize,224,224,1] transparency for img ({0,1} value)
-		img_rgba = mesh_renderer.mesh_renderer(face_shape,
+		with tf.device('/cpu:0'):
-			tf.cast(facemodel.face_buf-1,tf.int32),
+			img_rgba = mesh_renderer.mesh_renderer(face_shape,
-			face_norm,
+				tf.cast(facemodel.face_buf-1,tf.int32),
-			face_color,
+				face_norm,
-			camera_position = camera_position,
+				face_color,
-			camera_lookat = camera_lookat,
-			camera_up = camera_up,
-			light_positions = light_positions,
-			light_intensities = light_intensities,
-			image_width = 224,
-			image_height = 224,
-			fov_y = fov_y,
-			near_clip = 0.01,
-			far_clip = 50.0,
-			ambient_color = ambient_color)
-
-		img = img_rgba[:,:,:,:3]
-		mask = img_rgba[:,:,:,3:]
-
-		img = tf.cast(img[:,:,:,::-1],tf.float32) #transfer RGB to BGR
-		mask = tf.cast(mask,tf.float32) # full face region
-
-		if is_train:
-			# compute mask for small face region
-			img_crop_rgba = mesh_renderer.mesh_renderer(mask_face_shape,
-				tf.cast(facemodel.mask_face_buf-1,tf.int32),
-				mask_face_norm,
-				mask_face_color,
 				camera_position = camera_position,
 				camera_lookat = camera_lookat,
 				camera_up = camera_up,
@@ -334,6 +311,31 @@ class Face3D():
 				far_clip = 50.0,
 				ambient_color = ambient_color)
 
+		img = img_rgba[:,:,:,:3]
+		mask = img_rgba[:,:,:,3:]
+
+		img = tf.cast(img[:,:,:,::-1],tf.float32) #transfer RGB to BGR
+		mask = tf.cast(mask,tf.float32) # full face region
+
+		if is_train:
+			# compute mask for small face region
+			with tf.device('/cpu:0'):
+				img_crop_rgba = mesh_renderer.mesh_renderer(mask_face_shape,
+					tf.cast(facemodel.mask_face_buf-1,tf.int32),
+					mask_face_norm,
+					mask_face_color,
+					camera_position = camera_position,
+					camera_lookat = camera_lookat,
+					camera_up = camera_up,
+					light_positions = light_positions,
+					light_intensities = light_intensities,
+					image_width = 224,
+					image_height = 224,
+					fov_y = fov_y,
+					near_clip = 0.01,
+					far_clip = 50.0,
+					ambient_color = ambient_color)
+
 			mask_f = img_crop_rgba[:,:,:,3:]
 			mask_f = tf.cast(mask_f,tf.float32) # small face region
 			return img,mask,mask_f